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. Experience in any of the following areas is particularly relevant: Reduced-order modeling, Optimal transport theory, PDEs and eigenvalue problems, Error estimation. Website for additional job details https
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an atomistic model of the electrode/electrolyte interface in the batteries developed by ITEN, at the anode and at the cathode. Both electrodes are based on lithium-based transition metal oxides. These models
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: CELIA (U. Bordeaux, specialized in the simulation of the processes underlying the project), ASNR (neutron specialist), and TRACTEBEL (industrial partner). The position is in a sector subject to the
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deep learning models, and in particular large language
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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transient motions at the top of Earth's core. The benchmark will be the subject of an international call to candidate models. It will lead to an evaluation of the various methods when applied to synthetic
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collaboration with Michelin, is to develop surrogate models capable of rapidly approximating the simulator's results while accounting for uncertainty. Particular attention will be paid to the model's lightness
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
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molecular dynamics simulations with LAMMPS, and data curation. Scientific context: Our current understanding of polymer viscoelasticity is founded on single-chain models [2]. Such models draw on the fact
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neuroscience or a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (eg. model-based fMRI). The candidate must also have working knowledge